{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "collapsed": true,
        "pycharm": {
          "name": "#%% md\n",
          "is_executing": false
        }
      },
      "source": "### plot的多图 子图的绘制"
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "outputs": [
        {
          "data": {
            "text/plain": "\u003cFigure size 720x720 with 4 Axes\u003e",
            "image/png": 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\n"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": "import numpy as np\nimport matplotlib.pyplot as plt\nfig \u003d plt.figure(figsize\u003d(10,10)) # 绘制底层画布 figsize:配置图尺寸\nax1 \u003d fig.add_subplot(4,3,1)  # 4x3 的第一幅\nax2 \u003d fig.add_subplot(4,3,2)  # 4x3 的第二幅\nax3 \u003d fig.add_subplot(4,3,3)\nax6 \u003d fig.add_subplot(4,3,6)  # 4x3 的第6幅图\nax1.plot(np.random.randint(1,5,5), np.arange(5)) # 对ax1进行绘图\nax2.plot(np.arange(10)*3, np.arange(10))  # 绘制ax2图\nplt.show()\n",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%%\n",
          "is_executing": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "### 一图多线绘制\n",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%% md\n"
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "outputs": [
        {
          "data": {
            "text/plain": "\u003cFigure size 432x216 with 1 Axes\u003e",
            "image/png": "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\n"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": "import pandas as pd\nimport matplotlib.pyplot as plt\nunrate \u003d pd.read_csv(\u0027unrate.csv\u0027)  # 月度失业率\nunrate[\u0027DATE\u0027] \u003d pd.to_datetime(unrate[\u0027DATE\u0027])\nunrate[\u0027MONTH\u0027] \u003d unrate[\u0027DATE\u0027].dt.month # 构建month属性值\nfig \u003d plt.figure(figsize\u003d(6,3))\nplt.plot(unrate[0:12][\u0027MONTH\u0027], unrate[0:12][\u0027VALUE\u0027], c\u003d\u0027red\u0027)\nplt.plot(unrate[12:24][\u0027MONTH\u0027], unrate[12:24][\u0027VALUE\u0027], c\u003d\u0027yellow\u0027)\nplt.show()\n ",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%% \n",
          "is_executing": false
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 78,
      "outputs": [
        {
          "data": {
            "text/plain": "\u003cFigure size 720x432 with 1 Axes\u003e",
            "image/png": 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\n"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": "# 快捷绘制带图例的1图多线\nfig \u003d plt.figure(figsize\u003d(10,6))\ncolors \u003d [\u0027red\u0027, \u0027blue\u0027, \u0027green\u0027, \u0027orange\u0027, \u0027black\u0027] # 颜色列表\nfor i in range(5): # 循环作图\n    start_index \u003d i*12 # 起始索引\n    end_index \u003d (i+1) * 12 # 结束索引\n    subset \u003d unrate[start_index:end_index] # 索引范围\n    label \u003d str(1948+i) # 标签\n    plt.plot(subset[\u0027MONTH\u0027], subset[\u0027VALUE\u0027], c\u003dcolors[i], label\u003dlabel)\nplt.legend(loc\u003d\u0027best\u0027) # 标签位置 best为自动配置可放置在左上, 右下等位置\nplt.title(\"duo line \")\nplt.xlabel(\"month\")\nplt.ylabel(\"unrate\")\nplt.show()",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%% \n",
          "is_executing": false
        }
      }
    }
  ],
  "metadata": {
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 2
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython2",
      "version": "2.7.6"
    },
    "kernelspec": {
      "name": "python3",
      "language": "python",
      "display_name": "Python 3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}